下载 Machine learning - v8.0.0

请下载并共享Machine learning - v8.0.0，它是类别图书与工具书中的特色应用之一。
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Machine learning - v8.0.0发布，Machine learning - v8.0.0是当今最好的免费和最佳手机应用程序之一。位于应用商店的图书与工具书类别中。

Machine learning - v8.0.0的最低操作系统为Android 4.1+及更高版本。因此，如果尚未升级手机，则必须更新。

在APKDroid上，您将免费下载Machine learning - v8.0.0 APK，最新版本为8.0.0，发布日期为2020-06-04，文件大小为3.9 MB。根据Google Play商店的统计数据，大约有1000次下载。您可以根据需要更新在Android上单独下载或安装的应用。还可以更新您的应用。您可以使用最新功能并提高安全性和应用程序的稳定性。现在就享受它

Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

The name Machine learning was coined in 1959 by Arthur Samuel. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, 2 through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank, and computer vision.

Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. vii Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.

Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.

Effective machine learning is difficult because finding patterns is hard and often not enough training data are available as a result, machine-learning programs often fail to deliver.